Evidence map›Paper›PMID 37360250›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2023

Seasonal correlation of meteorological parameters and PM

Bassim Mohammed Hashim, Saadi K Al-Naseri, Alaa M Hamadi, Tahani Anwar Mahmood, Bijay Halder, Shamsuddin Shahid, Zaher Mundher Yaseen

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In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Bassim Mohammed HashimEnvironment, Water and Renewable Energy Directorate, Ministry of Science and Technology, Baghdad, Iraq.
Saadi K Al-NaseriEnvironment, Water and Renewable Energy Directorate, Ministry of Science and Technology, Baghdad, Iraq.
Alaa M HamadiEnvironment, Water and Renewable Energy Directorate, Ministry of Science and Technology, Baghdad, Iraq.
Tahani Anwar MahmoodEnvironment, Water and Renewable Energy Directorate, Ministry of Science and Technology, Baghdad, Iraq.
Bijay HalderDepartment of Remote Sensing and GIS, Vidyasagar University, Midnapore, 721102, India.
Shamsuddin ShahidDepartment of Water & Environmental Engineering, University of Teknologi Malaysia, 81310, Johor, Malaysia.
Zaher Mundher YaseenCivil and Environmental Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic was a serious global health emergency in 2020 and 2021. This study analyzed the seasonal association of weekly averages of meteorological parameters, such as wind speed, solar radiation, temperature, relative humidity, and air pollutant PM2.5, with confirmed COVID-19 cases and deaths in Baghdad, Iraq, a major megacity of the Middle East, for the period June 2020 to August 2021. Spearman and Kendall correlation coefficients were used to investigate the association. The results showed that wind speed, air temperature, and solar radiation have positive and strong correlations with the confirmed cases and deaths in the cold season (autumn and winter 2020-2021). The total COVID-19 cases negatively correlated with relative humidity but were not significant in all seasons. Besides, PM2.5 strongly correlated with COVID-19 confirmed cases for the summer of 2020. The death distribution by age group showed the highest deaths for those aged 60-69. The highest number of deaths was 41% in the summer of 2020. The study provided useful information about the COVID-19 health emergency and meteorological parameters, which can be used for future health disaster planning, adopting prevention strategies and providing healthcare procedures to protect against future infraction transmission.

Indexed as

BaghdadCorrelationCOVID-19 epidemicMeteorological parametersPM2.5Seasonal variation

Identifiers

PMID37360250
PMCPMC10277160

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.